code: def test_ablation_flip_changes_regression_score(self):
      ex = {
          "sentence1": "this long movie is terrible",
          "sentence2": "this short movie is great",
      }
      self.regression_config[ablation_flip.NUM_EXAMPLES_KEY] = 2
      ex_output = list(self.regression_model.predict([ex]))[0]
      thresh = 2
      self.regression_config[
          ablation_flip.REGRESSION_THRESH_KEY
      ] = thresh
      self.regression_config[ablation_flip.FIELDS_TO_ABLATE_KEY] = [
          "sentence1",
          "sentence2",
      ]
      cfs = self.ablation_flip.generate(
          ex, self.regression_model, None, self.regression_config
      )
      cf_outputs = self.regression_model.predict(cfs)
      for cf_output in cf_outputs:
          self.assertNotEqual(
              (ex_output["score"] <= thresh),
              (cf_output["score"] <= thresh),
          )
  
imports: from collections.abc import Iterable, Iterator
  from absl.testing import absltest
  from lit_nlp.api import types
  from lit_nlp.components import ablation_flip
  from lit_nlp.examples.models import glue_models
  import numpy
  from lit_nlp.lib import file_cache
label_desc: Use image node_id 11 for calling the ModelBasedAblationFlipTest obj's underlying member method code with example usage: obj.test_ablation_flip_changes_regression_score() without return types